Qwen2.5-0.5B-Instruct-Gensyn-Swarm Open Source Dialogue Model - Optimizing the Dialogue Experience Based on Fine-tuning Training

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Qwen2.5 0.5B Instruct Gensyn Swarm Fierce Placid Whale

Developed by gangchen

A fine-tuned version based on Gensyn/Qwen2.5-0.5B-Instruct, trained using the TRL framework and GRPO algorithm

Large Language Model

Transformers

#Reinforcement Learning Fine-tuning #GRPO Algorithm Optimization #Small Parameter Instruction Model

Downloads 3,053

Release Time : 4/2/2025

Model Overview

An instruction fine-tuned language model trained via reinforcement learning swarm, focusing on text generation tasks

Model Features

GRPO Algorithm Training

Trained using the GRPO method derived from the DeepSeekMath paper

TRL Framework

Trained using Hugging Face's Transformer Reinforcement Learning framework

Reinforcement Learning Swarm

Optimized model performance through swarm training

Model Capabilities

Text Generation

Instruction Understanding

Dialogue Generation

Use Cases

Creative Writing

Time Machine Scenario Selection

Generate creative responses about time travel choices

Can produce imaginative text outputs

Dialogue Systems

Open-domain Dialogue

Used for building open-domain dialogue systems

Capable of understanding instructions and generating coherent responses

🚀 Qwen2.5-0.5B-Instruct-Gensyn-Swarm-fierce_placid_whale

This model is a fine - tuned version of Gensyn/Qwen2.5-0.5B-Instruct, trained using TRL.

🚀 Quick Start

from transformers import pipeline

question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="gangchen/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-fierce_placid_whale", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])

✨ Features

Fine - tuned: Based on Gensyn/Qwen2.5-0.5B-Instruct.
Training Method: Trained with TRL.

📚 Documentation

Model Information

Property	Details
Base Model	Gensyn/Qwen2.5-0.5B-Instruct
Library Name	transformers
Model Name	Qwen2.5-0.5B-Instruct-Gensyn-Swarm-fierce_placid_whale
Tags	generated_from_trainer, rl - swarm, grpo, gensyn, I am fierce placid whale, trl

Training Procedure

This model was trained with GRPO, a method introduced in DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Framework versions

TRL: 0.15.2
Transformers: 4.51.3
Pytorch: 2.5.1
Datasets: 3.5.0
Tokenizers: 0.21.1

📄 License

This model is under the license license.

📚 Citations

Cite GRPO

@article{zhihong2024deepseekmath,
    title        = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
    author       = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
    year         = 2024,
    eprint       = {arXiv:2402.03300},
}

Cite TRL

@misc{vonwerra2022trl,
    title        = {{TRL: Transformer Reinforcement Learning}},
    author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
    year         = 2020,
    journal      = {GitHub repository},
    publisher    = {GitHub},
    howpublished = {\url{https://github.com/huggingface/trl}}
}

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